Zhe Zhao - RankMe

60 papers A* 22A 8Journal 28Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ReMem: Mutual Information-Aware Fine-tuning of Pretrained Vision Transformers for Effective Knowledge Distillation. CoRR Chengyu Dong, Huan Gui, Noveen Sachdeva, Long Jin, Ke Yin, Jingbo Shang, Lichan Hong, Ed H. Chi, Zhe Zhao
2025	J	`jnl`	Selecting User Histories to Generate LLM Users for Cold-Start Item Recommendation. CoRR Nachiket Subbaraman, Jaskinder Sarai, Aniruddh Nath, Lichan Hong, Lukasz Heldt, Li Wei, Zhe Zhao
2024	A	`conf`	Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems. RecSys Nikhil Khani, Li Wei, Aniruddh Nath, Shawn Andrews, Shuo Yang, Yang Liu, Pendo Abbo, Maciej Kula, Jarrod Kahn, Zhe Zhao, Lichan Hong, Ed H. Chi
2024	J	`jnl`	Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems. CoRR Nikhil Khani, Shuo Yang, Aniruddh Nath, Yang Liu, Pendo Abbo, Li Wei, Shawn Andrews, Maciej Kula, Jarrod Kahn, Zhe Zhao, Lichan Hong, Ed H. Chi
2024	A	`conf`	Co-optimize Content Generation and Consumption in a Large Scale Video Recommendation System. RecSys Zhen Zhang, Qingyun Liu, Yuening Li, Sourabh Bansod, Mingyan Gao, Yaping Zhang, Zhe Zhao, Lichan Hong, Ed H. Chi, Shuchao Bi, Liang Liu
2024	A*	`conf`	LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views. ICML Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao
2024	J	`jnl`	LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views. CoRR Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao
2024	A	`conf`	Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction. RecSys Yi Wu, Daryl Chang, Jennifer She, Zhe Zhao, Li Wei, Lukasz Heldt
2024	J	`jnl`	Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction. CoRR Yi Wu, Daryl Chang, Jennifer She, Zhe Zhao, Li Wei, Lukasz Heldt
2024	J	`jnl`	Wisdom of Committee: Distilling from Foundation Model to Specialized Application Model. CoRR Zichang Liu, Qingyun Liu, Yuening Li, Liang Liu, Anshumali Shrivastava, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao
2023	A*	`conf`	COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search. KDD Shibal Ibrahim, Wenyu Chen, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder
2023	J	`jnl`	COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search. CoRR Shibal Ibrahim, Wenyu Chen, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder
2023	A*	`conf`	Fast as CHITA: Neural Network Pruning with Combinatorial Optimization. ICML Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder
2023	J	`jnl`	Fast as CHITA: Neural Network Pruning with Combinatorial Optimization. CoRR Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder
2023	A	`conf`	Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation. CIKM Qingyun Liu, Zhe Zhao, Liang Liu, Zhen Zhang, Junjie Shan, Yuening Li, Shuchao Bi, Lichan Hong, Ed H. Chi
2023	J	`jnl`	Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication. CoRR Zhe Zhao, Qingyun Liu, Huan Gui, Bang An, Lichan Hong, Ed H. Chi
2022	A*	`conf`	Can Small Heads Help? Understanding and Improving Multi-Task Generalization. WWW Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Li Wei, Ed H. Chi
2022	A*	`conf`	HyperPrompt: Prompt-based Task-Conditioning of Transformers. ICML Yun He, Huaixiu Steven Zheng, Yi Tay, Jai Prakash Gupta, Yu Du, Vamsi Aribandi, Zhe Zhao, Yaguang Li, Zhao Chen, Donald Metzler, Heng-Tze Cheng, Ed H. Chi
2022	J	`jnl`	HyperPrompt: Prompt-based Task-Conditioning of Transformers. CoRR Yun He, Huaixiu Steven Zheng, Yi Tay, Jai Prakash Gupta, Yu Du, Vamsi Aribandi, Zhe Zhao, Yaguang Li, Zhao Chen, Donald Metzler, Heng-Tze Cheng, Ed H. Chi
2022	A*	`conf`	Improving Multi-Task Generalization via Regularizing Spurious Correlation. NeurIPS Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi
2022	J	`jnl`	Improving Multi-Task Generalization via Regularizing Spurious Correlation. CoRR Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi
2022	A*	`conf`	Transformer Memory as a Differentiable Search Index. NeurIPS Yi Tay, Vinh Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler
2022	J	`jnl`	Transformer Memory as a Differentiable Search Index. CoRR Yi Tay, Vinh Q. Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler
2021	A*	`conf`	DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning. NeurIPS Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed H. Chi
2021	J	`jnl`	DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning. CoRR Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed H. Chi
2021	A*	`conf`	Efficiently Identifying Task Groupings for Multi-Task Learning. NeurIPS Chris Fifty, Ehsan Amid, Zhe Zhao, Tianhe Yu, Rohan Anil, Chelsea Finn
2021	J	`jnl`	Efficiently Identifying Task Groupings for Multi-Task Learning. CoRR Christopher Fifty, Ehsan Amid, Zhe Zhao, Tianhe Yu, Rohan Anil, Chelsea Finn
2021	A*	`conf`	HyperGrid Transformers: Towards A Single Model for Multiple Tasks. ICLR Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan
2021	A	`conf`	Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. AISTATS Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei
2021	A*	`conf`	Synthesizer: Rethinking Self-Attention for Transformer Models. ICML Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng
2021	J	`jnl`	The Benchmark Lottery. CoRR Mostafa Dehghani, Yi Tay, Alexey A. Gritsenko, Zhe Zhao, Neil Houlsby, Fernando Diaz, Donald Metzler, Oriol Vinyals
2020	J	`jnl`	HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections. CoRR Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan
2020	J	`jnl`	Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. CoRR Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei
2020	J	`jnl`	Measuring and Harnessing Transference in Multi-Task Learning. CoRR Christopher Fifty, Ehsan Amid, Zhe Zhao, Tianhe Yu, Rohan Anil, Chelsea Finn
2020	A*	`conf`	Multitask Mixture of Sequential Experts for User Activity Streams. KDD Zhen Qin, Yicheng Cheng, Zhe Zhao, Zhe Chen, Donald Metzler, Jingzheng Qin
2020	A*	`conf`	Off-policy Learning in Two-stage Recommender Systems. WWW Jiaqi Ma, Zhe Zhao, Xinyang Yi, Ji Yang, Minmin Chen, Jiaxi Tang, Lichan Hong, Ed H. Chi
2020	J	`jnl`	Small Towers Make Big Differences. CoRR Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Ed H. Chi
2020	J	`jnl`	Synthesizer: Rethinking Self-Attention in Transformer Models. CoRR Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng
2020	J	`jnl`	Understanding and Improving Knowledge Distillation. CoRR Jiaxi Tang, Rakesh Shivanna, Zhe Zhao, Dong Lin, Anima Singh, Ed H. Chi, Sagar Jain
2019	A*	`conf`	Fairness in Recommendation Ranking through Pairwise Comparisons. KDD Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow
2019	J	`jnl`	Fairness in Recommendation Ranking through Pairwise Comparisons. CoRR Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow
2019	A	`conf`	Recommending what video to watch next: a multitask ranking system. RecSys Zhe Zhao, Lichan Hong, Li Wei, Jilin Chen, Aniruddh Nath, Shawn Andrews, Aditee Kumthekar, Maheswaran Sathiamoorthy, Xinyang Yi, Ed H. Chi
2019	A*	`conf`	SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning. AAAI Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi
2019	A	`conf`	Sampling-bias-corrected neural modeling for large corpus item recommendations. RecSys Xinyang Yi, Ji Yang, Lichan Hong, Derek Zhiyuan Cheng, Lukasz Heldt, Aditee Kumthekar, Zhe Zhao, Li Wei, Ed H. Chi
2018	A*	`conf`	Identify Shifts of Word Semantics through Bayesian Surprise. SIGIR Zhuofeng Wu, Cheng Li, Zhe Zhao, Fei Wu, Qiaozhu Mei
2018	A*	`conf`	Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts. KDD Jiaqi Ma, Zhe Zhao, Xinyang Yi, Jilin Chen, Lichan Hong, Ed H. Chi
2017	J	`jnl`	Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations. CoRR Alex Beutel, Jilin Chen, Zhe Zhao, Ed H. Chi
2016	A	`conf`	Detecting Social Media Icebergs by Their Tips: Rumors, Persuasion Campaigns, and Information Needs. WSDM Zhe Zhao
2015	A*	`conf`	Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts. WWW Zhe Zhao, Paul Resnick, Qiaozhu Mei
2015	A*	`conf`	Improving User Topic Interest Profiles by Behavior Factorization. WWW Zhe Zhao, Zhiyuan Cheng, Lichan Hong, Ed Huai-hsin Chi
2015	J	`jnl`	Towards the prediction problems of bursting hashtags on Twitter. J. Assoc. Inf. Sci. Technol. Shoubin Kong, Fei Ye, Ling Feng, Zhe Zhao
2014	J	`jnl`	On the Real-time Prediction Problems of Bursting Hashtags in Twitter. CoRR Shoubin Kong, Qiaozhu Mei, Ling Feng, Zhe Zhao, Fei Ye
2014	A*	`conf`	Predicting bursts and popularity of hashtags in real-time. SIGIR Shoubin Kong, Qiaozhu Mei, Ling Feng, Fei Ye, Zhe Zhao
2014	—	`conf`	Real-Time Predicting Bursting Hashtags on Twitter. WAIM Shoubin Kong, Qiaozhu Mei, Ling Feng, Zhe Zhao
2013	A*	`conf`	Questions about questions: an empirical analysis of information needs on Twitter. WWW Zhe Zhao, Qiaozhu Mei
2012	J	`jnl`	A Framework for Similarity Search of Time Series Cliques with Natural Relations. IEEE Trans. Knowl. Data Eng. Bin Cui, Zhe Zhao, Wee Hyong Tok
2012	J	`jnl`	Extracting representative motion flows for effective video retrieval. Multim. Tools Appl. Zhe Zhao, Bin Cui, Gao Cong, Zi Huang, Heng Tao Shen
2012	J	`jnl`	Recommending Flickr groups with social topic model. Inf. Retr. Jingdong Wang, Zhe Zhao, Jiazhen Zhou, Hao Wang, Bin Cui, Guojun Qi
2010	A*	`conf`	Efficient similarity matching of Time Series Cliques with natural relations. ICDE Zhe Zhao, Bin Cui, Wee Hyong Tok, Jiakui Zhao
2010	—	`conf`	Multiple feature fusion for social media applications. SIGMOD Conference Bin Cui, Anthony K. H. Tung, Ce Zhang, Zhe Zhao